Interactive Texture Segmentation of 3D Scanned Models Leveraging Multiview Automatic Segmentation

Figure 1: Workflow of our interactive texture segmentation using a 3D scanned model.Automatic segmentation divides the texture into small subsegments in a pre-processing step.The user then iteratively classifies the subsegments into segments by drawing scribbles on the 3D model.The segment ID of a subsegment is set to the ID of the nearest stroke.

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Published
2025-04-25
DOI
https://doi.org/10.1145/3706599.3719697
Primary Topic
Visual Attention and Saliency Detection
Type
article
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Interactive Texture Segmentation of 3D Scanned Models Leveraging Multiview Automatic Segmentation

Tsukasa Takagi, Taisuke Hashimoto, Fabrice Matulic, Koki Madono et al.
Visual Attention and Saliency Detection
article

Interactive Texture Segmentation of 3D Scanned Models Leveraging Multiview Automatic Segmentation

Tsukasa Takagi, Taisuke Hashimoto, Fabrice Matulic, Koki Madono, Keita Higuchi, Takeo Igarashi, Hiroharu Kato
article en

Abstract

Figure 1: Workflow of our interactive texture segmentation using a 3D scanned model.Automatic segmentation divides the texture into small subsegments in a pre-processing step.The user then iteratively classifies the subsegments into segments by drawing scribbles on the 3D model.The segment ID of a subsegment is set to the ID of the nearest stroke.

Waseda University (JP), Preferred Networks (Japan) (JP)
Openalex Percentile: Top 93%
Visual Attention and Saliency Detection
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Interactive Texture Segmentation of 3D Scanned Models Leveraging Multiview Automatic Segmentation — Tsukasa Takagi, Taisuke Hashimoto, et al. · (2025) | TGRS Research Map | TGRS